Deep Learning Marktforschung

For your business to grow, you must understand your customers.

Sie müssen ihre Erwartungen erfüllen und ihnen die bestmögliche Unterstützung bieten. Und hier kommen Deep Learning und Marktforschung ins Spiel.

Was ist Deep Learning?

Es gibt mehrere Möglichkeiten, eine Maschine dazu zu bringen, einen Prozess zu erlernen. Deep Learning ist eine dieser Methoden. Das Konzept von Deep Learning ist auch als hierarchisches Lernen oder tief strukturiertes Lernen bekannt. Im Gegensatz zu den anderen Prozessen konzentriert sich die Deep Learning-Methode auf Datendarstellungen. Sie können den Lernprozess überwachen oder er kann unbeaufsichtigt oder halbüberwacht sein. In vielen Bereichen und Branchen werden bereits einige Deep Learning-Architekturen angewendet, wie z. B. rekurrierende neuronale Netzwerke, Deep Belief Networks und Deep Neural Networks. Sie verwenden neuronale Netzwerke, um das Lernen zu fördern. Sie können komplexe Aufgaben erlernen und große Datenmengen verarbeiten, was für einen Menschen nicht möglich wäre.

Der Markt wächst

Popular neural networks have around eight layers and 60 million parameters. The Deep Learning neural networks go up to 200 or 400 million settings. The great thing is that the market is growing. Businesses need Deep Learning to study business data, see problems, and identify solutions. Many companies are already accessing their benefits. Deep Learning continues to be very popular in the business world.

Vorteile von Deep Learning

One of the main benefits of Deep Learning is that it transforms companies. Based on company data, it’s a lot easier to figure out what’s wrong, what customers expect, and what you need to change. The transformation process is comprehensive and meaningful. It can have a positive effect on your business. By studying company data, Deep Learning also allows markets to be more efficient. It helps a lot, and it delivers a resounding return on investment every time.

Viele Unternehmen nutzen Deep Learning, um Unternehmensdaten zu verstehen. Sie nutzen es auch, um bestimmte Kundenstämme anzusprechen. Viele Unternehmen nutzen es auch für Computer Vision, Tuning und Optimierung.

Wie wenden Unternehmen Deep Learning an?

The oil and gas industry uses Deep Learning to lower its extraction costs. This industry also uses it for locating, delivering, and processing the oil. The construction industry uses Deep Learning to create step-by-step project simulations. With deep learning, it’s easy for builders to see what can go wrong. Also, for cybersecurity, Deep Learning can improve the detection rate for malware. Social media, finance, transportation, healthcare, and many other industries use Deep Learning.

Deep learning will help you understand your business and uncover new opportunities. This method processes a vast amount of data. You can use this data to figure out what approach and system will work for you. You can generate new business opportunities. You may also see some challenges that can arise from your competition. Once you have all that info, you can start speaking to decision makers. They can analyze the data and recommend changes.

While information is everywhere, the main issue is finding the right insights. Companies also need to use data correctly. With help from SIS International, you will find it a lot easier to access deep learning and reach data scientists. You also get consumer research and many other services in a very affordable package. Don’t hesitate! Talk to SIS International today to harness the power of deep learning for your business.

Über Deep Learning Market Research

SIS is a leading Global Market Research and Strategy Consulting company. We provide data, insights and strategies to gain advantage in today’s fast-paced business landscape.  With data and strategy, companies can better identify opportunities and advantages. Examples of our work include:

• Qualitative Forschung: Fokusgruppen mit Datenwissenschaftlern und Kunden
• Quantitative Forschung: Umfragen und Datensammlung für Algorithmen und Datenverarbeitung
• Strategieberatung: Market Sizing, Go-To-Market Strategy, Technology Acquisition, and Competitive Analysis